Medical Image Segmentation

Medical Image Segmentation is a computer vision task that involves dividing an medical image into multiple segments, where each segment represents a different object or structure of interest in the image. The goal of medical image segmentation is to provide a precise and accurate representation of the objects of interest within the image, typically for the purpose of diagnosis, treatment planning, and quantitative analysis.

( Image credit: IVD-Net )

Papers

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Showing 901–925 of 2089 papers

Title	Date	Tasks	Status
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors	Sep 21, 2023	Image SegmentationLiver Segmentation	—Unverified
Cross-adversarial local distribution regularization for semi-supervised medical image segmentation	Oct 2, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Foundation AI Model for Medical Image Segmentation	Nov 5, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Assessing the Role of Random Forests in Medical Image Segmentation	Mar 30, 2021	GPUImage Segmentation	—Unverified
Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images	Nov 14, 2024	AnatomyFew-Shot Learning	—Unverified
Leveraging Global Binary Masks for Structure Segmentation in Medical Images	May 13, 2022	Image SegmentationMedical Image Segmentation	—Unverified
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator	Oct 5, 2023	Image SegmentationMedical Image Segmentation	—Unverified
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation	Dec 23, 2020	Domain AdaptationImage Segmentation	—Unverified
Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation	Apr 16, 2025	DiagnosticImage Segmentation	—Unverified
_1DecNet+: A new architecture framework by _1 decomposition and iteration unfolding for sparse feature segmentation	Mar 5, 2022	Compressive SensingImage Segmentation	—Unverified
Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation	Dec 21, 2021	DecoderImage Segmentation	—Unverified
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms	May 28, 2024	Image SegmentationMedical Image Segmentation	—Unverified
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation	Jul 31, 2022	AnatomyImage Segmentation	—Unverified
Image Translation-Based Unsupervised Cross-Modality Domain Adaptation for Medical Image Segmentation	Feb 21, 2025	Deep LearningDomain Adaptation	—Unverified
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning	Feb 4, 2025	Image ManipulationImage Manipulation Detection	—Unverified
Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images	Dec 6, 2016	Image SegmentationMedical Image Segmentation	—Unverified
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation	May 5, 2021	Deep LearningMedical Image Segmentation	—Unverified
AI in the Loop -- Functionalizing Fold Performance Disagreement to Monitor Automated Medical Image Segmentation Pipelines	May 15, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Finding the Most Transferable Tasks for Brain Image Segmentation	Jan 3, 2023	Brain Image SegmentationImage Segmentation	—Unverified
Computation of Total Kidney Volume from CT images in Autosomal Dominant Polycystic Kidney Disease using Multi-Task 3D Convolutional Neural Networks	Sep 7, 2018	Image SegmentationMedical Image Segmentation	—Unverified
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation	Oct 27, 2022	Conditional Image GenerationDenoising	—Unverified
FIF-UNet: An Efficient UNet Using Feature Interaction and Fusion for Medical Image Segmentation	Sep 9, 2024	DecoderImage Segmentation	—Unverified
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation	Jun 20, 2024	Data AugmentationDomain Generalization	—Unverified
Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models	Oct 4, 2023	Image SegmentationMedical Image Analysis	—Unverified
FIAS: Feature Imbalance-Aware Medical Image Segmentation with Dynamic Fusion and Mixing Attention	Nov 16, 2024	DecoderImage Segmentation	—Unverified

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All datasets Kvasir-SEG CVC-ClinicDB CVC-ColonDB ETIS-LARIBPOLYPDB Synapse multi-organ CT Automatic Cardiac Diagnosis Challenge (ACDC)MoNuSeg 2018 Data Science Bowl GlaS BKAI-IGH NeoPolyp-Small MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge ACDC

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DUCK-Net	mean Dice	0.95	—	Unverified
2	EffiSegNet-B5	mean Dice	0.95	—	Unverified
3	EffiSegNet-B4	mean Dice	0.95	—	Unverified
4	SegMed	mean Dice	0.95	—	Unverified
5	FCB Former	mean Dice	0.94	—	Unverified
6	FCB-SwinV2 Transformer	mean Dice	0.94	—	Unverified
7	SEP	mean Dice	0.94	—	Unverified
8	LM-Net	mean Dice	0.94	—	Unverified
9	RAPUNet	mean Dice	0.94	—	Unverified
10	FCBFormer	mean Dice	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DUCK-Net	mean Dice	0.97	—	Unverified
2	RAPUNet	mean Dice	0.96	—	Unverified
3	EMCAD	mean Dice	0.95	—	Unverified
4	Yolo-SAM 2	mean Dice	0.95	—	Unverified
5	RaBiT	mean Dice	0.95	—	Unverified
6	UGCANet	mean Dice	0.95	—	Unverified
7	ESFPNet-L	mean Dice	0.95	—	Unverified
8	FCBFormer	mean Dice	0.95	—	Unverified
9	DuAT	mean Dice	0.95	—	Unverified
10	SegMed	mean Dice	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RAPUNet	mean Dice	0.95	—	Unverified
2	DUCK-Net	mean Dice	0.94	—	Unverified
3	EMCAD	mean Dice	0.92	—	Unverified
4	SegMed	mean Dice	0.92	—	Unverified
5	UniNet	mean Dice	0.92	—	Unverified
6	ProMISe	mean Dice	0.87	—	Unverified
7	Meta-Polyp	mean Dice	0.87	—	Unverified
8	ResUNet++ + TTA	mean Dice	0.85	—	Unverified
9	PVT-GCASCADE	mean Dice	0.83	—	Unverified
10	PVT-CASCADE	mean Dice	0.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RAPUNet	mean Dice	0.96	—	Unverified
2	SegMed	mean Dice	0.94	—	Unverified
3	DUCK-Net	mean Dice	0.94	—	Unverified
4	EMCAD	mean Dice	0.92	—	Unverified
5	ProMISe	mean Dice	0.84	—	Unverified
6	RSAFormer	mean Dice	0.84	—	Unverified
7	ESFPNet-L	mean Dice	0.82	—	Unverified
8	DuAT	mean Dice	0.82	—	Unverified
9	PVT-CASCADE	mean Dice	0.8	—	Unverified
10	SSFormer-L	mean Dice	0.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Interactive AI-SAM gt box	Avg DSC	90.66	—	Unverified
2	Medical SAM Adapter	Avg DSC	89.8	—	Unverified
3	MedSegDiff-v2	Avg DSC	89.5	—	Unverified
4	nnUNet	Avg DSC	88.8	—	Unverified
5	MedNeXt-L (5x5x5)	Avg DSC	88.76	—	Unverified
6	MIST	Avg DSC	86.92	—	Unverified
7	nnFormer	Avg DSC	86.57	—	Unverified
8	AgileFormer	Avg DSC	86.11	—	Unverified
9	MERIT	Avg DSC	84.9	—	Unverified
10	Automatic AI-SAM	Avg DSC	84.21	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCT	Avg DSC	94.26	—	Unverified
2	Interactive AI-SAM gt box	Avg DSC	93.89	—	Unverified
3	FCT	Avg DSC	93.02	—	Unverified
4	LHU-Net	Avg DSC	92.65	—	Unverified
5	MIST	Avg DSC	92.56	—	Unverified
6	MERIT	Avg DSC	92.32	—	Unverified
7	MERIT-GCASCADE	Avg DSC	92.23	—	Unverified
8	EMCAD	Avg DSC	92.12	—	Unverified
9	nnFormer	Avg DSC	92.06	—	Unverified
10	Automatic AI-SAM	Avg DSC	92.06	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Stardist	F1	84.6	—	Unverified